Triple

T15899880
Position Surface form Disambiguated ID Type / Status
Subject HESN E385555 entity
Predicate countryCodeISO3 P19525 FINISHED
Object EGY E972874 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: EGY | Statement: [HESN, countryCodeISO3, EGY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGY
Context triple: [HESN, countryCodeISO3, EGY]
  • A. EGY chosen
    EGY is the official FIFA trigramme used to represent the Egypt national football team in international competitions and records.
  • B. EGYD
    EGYD is the ICAO airport code for RAF Cranwell, a Royal Air Force training station in Lincolnshire, England.
  • C. EGE
    EGE is the IATA airport code for Eagle County Regional Airport, a commercial airport serving the Vail and Eagle Valley region in Colorado, USA.
  • D. Egypta
    Egypta is a pioneering early 20th-century dance work by Ruth St. Denis that explores stylized interpretations of ancient Egyptian themes and aesthetics.
  • E. EUG
    EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563cd2f081909404d724ecc8785a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04f3ea08190b5581768770677e8 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.